JADBio AutoML
Predictive analytics software
Data science and machine learning platforms
- Features
- Ease of use
- Ease of management
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$2,199 per team per month
Free TrialFree version
Small
Medium
Large
- Healthcare and life sciences
- Agriculture, fishing, and forestry
- Professional services (engineering, legal, consulting, etc.)
What is JADBio AutoML
JADBio AutoML is an automated machine learning platform focused on building predictive models from structured data with limited manual feature engineering. It targets data scientists and domain experts (e.g., life sciences and healthcare researchers) who need to train, validate, and interpret models with an emphasis on reproducibility. The product automates algorithm selection, hyperparameter tuning, and feature selection, and provides model interpretation outputs intended to support scientific and regulated workflows.
Automated end-to-end modeling
The platform automates key steps of supervised learning workflows, including preprocessing, feature selection, model selection, and hyperparameter optimization. This reduces the amount of custom code required to reach a baseline model compared with general-purpose analytics tools. It is particularly suited to tabular datasets where users want a guided modeling process rather than building pipelines manually.
Emphasis on interpretability
JADBio provides model interpretation artifacts intended to explain drivers of predictions and selected features. This can help users communicate results to non-technical stakeholders and support documentation needs in research settings. Interpretability features are a differentiator versus products that focus primarily on dashboards or data warehousing rather than model transparency.
Reproducible experiment outputs
The product is designed to capture modeling choices and results in a way that supports repeatable experiments. This is useful for teams that need to compare runs, justify model selection, and maintain an audit trail of analyses. Such workflow support is often less central in BI-oriented analytics products that prioritize visualization over ML experiment management.
Narrower scope than BI suites
JADBio is centered on predictive modeling rather than broad business intelligence reporting and interactive dashboarding. Organizations that need enterprise semantic layers, pixel-perfect reporting, or extensive visualization ecosystems may require additional tools. As a result, it may not replace analytics platforms that are primarily used for executive reporting.
Limited fit for unstructured data
The platform’s core strengths are in structured/tabular predictive modeling and feature selection. Use cases involving large-scale unstructured data (text, images, audio) or deep learning-centric workflows may be better served by general ML engineering stacks. Teams may need separate infrastructure for data labeling, embedding pipelines, or model serving for these modalities.
Integration and deployment considerations
AutoML outputs still need to be operationalized into production systems, which can require MLOps tooling, APIs, and governance processes outside the platform. Compared with cloud-native data platforms, integration patterns may depend on available connectors and the organization’s existing stack. Buyers should validate how models are exported, monitored, and retrained in their target environment.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Basic | FREE | Full functionality for a single user: data uploading & wrangling; single feature selection; basic tuning; feature interpretation; model visualizations; share results; 1 model export; Standard support SLA. Includes a 14-day free trial of the Team plan. |
| Team (5+ seats) | $2,199 per team/month (billed annually) | For teams sized 5+. Multiple feature selection; extensive tuning; survival analysis; API access; batch analysis; unlimited model export; up to 20 seats; up to 64 CPUs and 100 GB storage; 8–32 concurrent analyses; Premium support SLA; 10–20 hours consulting. |
| Team (R&D / Custom) | Custom pricing (contact sales) | R&D teams: custom seat counts and resources, premium support, configurable CPUs/storage; 14-day trial of plan. |
| Business Pro | Custom pricing (contact sales) | Enterprise-grade: AWS container / on-premise delivery; advanced analysis (images, signals, single-cell); big-volume data; user-defined code & algorithms; connection to private repos; up to 1000 seats; 200–1000 CPUs; unlimited storage; Platinum support SLA; 25–100 hours consulting. |
| Classroom / Academic | Contact sales / Get discount | Academic discount available for researchers and teams; Classroom plan for educators (contact) — educator/student collaboration and additional floating licenses; custom provisioning for CPUs/storage. |
Seller details
JADBio
Heraklion, Greece
2016
Private
https://jadbio.com/
https://x.com/JADBio
https://www.linkedin.com/company/jadbio/
